Title :
A neural predictor for recurrence of breast cancer
Author :
Sanguineti, V. ; Schenone, A. ; Morasso, P. ; Andreucci, L. ; Margallo, E. ; Margiocco, M.
Author_Institution :
Dept. of Comput., Univ. of Genova, Genova, Italy
fDate :
Oct. 29 1992-Nov. 1 1992
Abstract :
This paper describes the application of a neural network model (SOC: Self-Organizing Classifier) to the problem of classifying the time of recurrence of breast cancer. Differently from other neural models, SOC shows good convergence and generalization abilities even in the case of a small data set, thus being particularly suitable for medical applications.
Keywords :
cancer; medical diagnostic computing; neural nets; physiological models; SOC; breast cancer recurrence; neural network model; neural predictor; self-organizing classifier; Biological system modeling; DNA; Presses; System-on-a-chip;
Conference_Titel :
Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE
Conference_Location :
Paris
Print_ISBN :
0-7803-0785-2
Electronic_ISBN :
0-7803-0816-6
DOI :
10.1109/IEMBS.1992.5761226
